Senior Data Scientist, Knowledge Graph, GNN and AI Research

Are you a highly skilled and experienced Data Scientist with a passion for Knowledge Graphs, Graph Neural Networks (GNNs), and AI research? Do you thrive in a fast-paced, innovative environment where you can make a real impact? If so, we have an exciting opportunity for you at Merck & Co. as a Senior Data Scientist on our Knowledge Graph team. In this role, you will be at the forefront of cutting-edge research and development, working with large and diverse data sets to drive insights and discoveries. With your expertise and leadership, you will help shape the future of healthcare and make a difference in the lives of millions. Join us and be a part of our mission to transform the way we approach healthcare.

1. Lead and conduct research on Knowledge Graphs, Graph Neural Networks (GNNs), and other AI techniques to drive insights and discoveries in healthcare.
2. Collaborate with cross-functional teams to identify and prioritize data science projects and initiatives that align with business goals.
3. Apply advanced statistical and machine learning techniques to analyze large and complex data sets to identify patterns and trends.
4. Develop innovative solutions and algorithms to improve the accuracy and effectiveness of our Knowledge Graphs and other data-driven models.
5. Stay current with the latest advancements in data science and AI research, and apply relevant techniques to enhance our data analytics capabilities.
6. Communicate key findings and insights to stakeholders in a clear and concise manner, including non-technical audiences.
7. Mentor and guide junior data scientists in the team, providing technical guidance and support for their projects.
8. Collaborate with IT teams to ensure data integrity, security, and compliance with regulatory requirements.
9. Proactively identify and address potential data quality issues and provide recommendations for improvement.
10. Continuously evaluate and improve data science processes, methodologies, and tools to enhance efficiency and effectiveness.
11. Act as a subject matter expert on Knowledge Graphs and GNNs, providing thought leadership and driving innovation within the organization.
12. Represent the company in external conferences and events, showcasing our data science capabilities and thought leadership in the field.
13. Be a role model and ambassador for a data-driven culture, promoting the value of data analytics and AI across the organization.
14. Contribute to the development of data science strategies and roadmaps, aligning them with overall business goals and objectives.
15. Collaborate with other senior leaders to identify and implement opportunities for data science and AI to drive business growth and innovation.

According to JobzMall, the average salary range for a Senior Data Scientist, Knowledge Graph, GNN and AI Research in Cambridge, MA, USA is $130,000 - $160,000 per year. This may vary depending on factors such as experience, education, and specific job responsibilities. Some companies may offer additional benefits and bonuses as well.

Merck & Co., Inc., d.b.a. Merck Sharp & Dohme outside the United States and Canada, is an American multinational pharmaceutical company and one of the largest pharmaceutical companies in the world. Merck & Co., Inc. engages in the provision of health solutions through its prescription medicines, vaccines, biologic therapies, animal health, and consumer care products. It operates through the following segments: Pharmaceutical, Animal Health, Alliances and Healthcare Services. The Pharmaceutical segment includes human health pharmaceutical and vaccine products marketed either directly by the company or through joint ventures.